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  5. Power asymmetry, adaptation, and collaboration in dyadic relationships involving a powerful partner
 
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Power asymmetry, adaptation, and collaboration in dyadic relationships involving a powerful partner

Author(s)
Nyaga, Gilbert N.  
Lynch, Daniel F.  
Marshall, Donna  
Ambrose, Eamonn  
Uri
http://hdl.handle.net/10197/5997
Date Issued
2013-07-24
Date Available
2015-07-24T03:00:16Z
Abstract
Buyer–supplier relationships involve dyadic interactions, but there is a dearth of empirical dyadic analysis of these relationships. While relationships with a power balance between partners do exist, relationships typically occur in the context of power asymmetry. This study examines how perceptions of power use and prevailing relationship quality in dyadic relationships characterized by substantial power asymmetry affect behavioral and operational outcomes. Hierarchical regression is used to analyze data from a dyadic survey of relationships of a brand-name buying organization and its suppliers. Results indicate that power use affects partner behavior and operational performance, but the nature of the relationship dictates which power sources are most appropriate. In addition, the mediation effect of power imbalance shows that both relational and transactional factors can play an important role in supply chain exchanges.
Type of Material
Journal Article
Publisher
Wiley
Journal
Journal of Supply Chain Management
Volume
49
Issue
3
Start Page
42
End Page
65
Copyright (Published Version)
2013 Institute for Supply Management, Inc.
Subjects

Dyadic relationships

Power asymmetry

Adaptation

Collaboration

Relationship quality

Transaction cost econ...

Social exchange theor...

DOI
10.1111/jscm.12011
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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2013_JSCM_Power_Nyaga_et_al.pdf

Size

395.67 KB

Format

Adobe PDF

Checksum (MD5)

7c3fee7d16bce0e85d56eea55e11c83e

Owning collection
Business Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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